Tagging MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GROQ_API_KEY | No | API key for Groq provider | |
| GEMINI_API_KEY | No | API key for Gemini provider | |
| OPENAI_API_KEY | No | API key for OpenAI provider | |
| ANTHROPIC_API_KEY | No | API key for Claude (Anthropic) provider |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| tag_csvA | Tag all rows in a CSV file based on a provided taxonomy using parallel LLM inference. |
| preview_csvA | Preview the first few rows of a CSV file to understand its structure. |
| tag_csv_advancedA | Tag CSV rows using a custom taxonomy with multiple fields and detailed value definitions. This is the advanced version that accepts a full taxonomy dictionary for multi-dimensional classification. |
| get_tagging_infoA | Get information about the tagging MCP server and supported providers |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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